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Spatial Reuse in IEEE 802.11bn Coordinated Multi-AP WLANs: A Throughput Analysis

David Nunez, Francesc Wilhelmi, Lorenzo Galati-Giordano, Giovanni Geraci, Boris Bellalta

TL;DR

The paper addresses the challenge of meeting high-throughput, low-latency demands in dense WLANs by introducing Coordinated Spatial Reuse (C-SR) for IEEE 802.11bn. It develops a RSSI-based, multi-AP grouping mechanism (MAPC) with TXOP-sharing atop DCF, and extends Bianchi's throughput model to capture multi-AP simultaneous transmissions. Through analytical modeling and Matlab-based validation, the authors show substantial throughput gains over legacy DCF, with gains up to 284% depending on AP spacing and STA placement, and provide insights into group formation and scheduling trade-offs. The work demonstrates the practical potential of C-SR to enhance spectral efficiency in next-generation Wi-Fi deployments and informs future parameter tuning and power-control extensions for XR/VR and cloud services.

Abstract

IEEE 802.11 networks continuously adapt to meet the stringent requirements of emerging applications like cloud gaming, eXtended Reality (XR), and video streaming services, which require high throughput, low latency, and high reliability. To address these challenges, Coordinated Spatial Reuse (C-SR) can potentially contribute to optimizing spectrum resource utilization. This mechanism is expected to enable a higher number of simultaneous transmissions, thereby boosting spectral efficiency in dense environments and increasing the overall network performance. In this paper, we focus on the performance analysis of C-SR in Wi-Fi 8 networks. In particular, we consider an implementation of C-SR where channel access and inter-Access Point (AP) communication are performed over-the-air using the Distributed Coordination Function (DCF). For such a purpose, we leverage the well-known Bianchi's throughput model and extend it to support multi-AP transmissions via C-SR. Numerical results in a WLAN network that consists of four APs show C-SR throughput gains ranging from 54% to 280% depending on the inter-AP distance and the position of the stations in the area.

Spatial Reuse in IEEE 802.11bn Coordinated Multi-AP WLANs: A Throughput Analysis

TL;DR

The paper addresses the challenge of meeting high-throughput, low-latency demands in dense WLANs by introducing Coordinated Spatial Reuse (C-SR) for IEEE 802.11bn. It develops a RSSI-based, multi-AP grouping mechanism (MAPC) with TXOP-sharing atop DCF, and extends Bianchi's throughput model to capture multi-AP simultaneous transmissions. Through analytical modeling and Matlab-based validation, the authors show substantial throughput gains over legacy DCF, with gains up to 284% depending on AP spacing and STA placement, and provide insights into group formation and scheduling trade-offs. The work demonstrates the practical potential of C-SR to enhance spectral efficiency in next-generation Wi-Fi deployments and informs future parameter tuning and power-control extensions for XR/VR and cloud services.

Abstract

IEEE 802.11 networks continuously adapt to meet the stringent requirements of emerging applications like cloud gaming, eXtended Reality (XR), and video streaming services, which require high throughput, low latency, and high reliability. To address these challenges, Coordinated Spatial Reuse (C-SR) can potentially contribute to optimizing spectrum resource utilization. This mechanism is expected to enable a higher number of simultaneous transmissions, thereby boosting spectral efficiency in dense environments and increasing the overall network performance. In this paper, we focus on the performance analysis of C-SR in Wi-Fi 8 networks. In particular, we consider an implementation of C-SR where channel access and inter-Access Point (AP) communication are performed over-the-air using the Distributed Coordination Function (DCF). For such a purpose, we leverage the well-known Bianchi's throughput model and extend it to support multi-AP transmissions via C-SR. Numerical results in a WLAN network that consists of four APs show C-SR throughput gains ranging from 54% to 280% depending on the inter-AP distance and the position of the stations in the area.
Paper Structure (12 sections, 8 equations, 3 figures, 2 tables)

This paper contains 12 sections, 8 equations, 3 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Proposed C-SR Mechanism Model
  3. C-SR Operation
  4. Multi-AP Group Formation
  5. Group Transmission Probability
  6. Throughput Analysis
  7. Performance Evaluation
  8. Scenario and System Model
  9. Example Deployments
  10. Multiple Random Deployments
  11. Conclusions
  12. Acknowledgements

Figures (3)

  • Figure 1: Left side: Example of the proposed MAPC operation in a small OBSS deployment. Right side: coordination frames and coordinated transmission, where AP$_{1}$ and AP$_{3}$ are selected due to their spatial reuse compatibility.
  • Figure 2: Deployment 1 and Deployment 2 are shown in (a) and (d), respectively. APs have been placed to a distance $d_{\rm {AP-AP}} = 10$ meters, and 1 STA is associated to each of them. The aggregate throughput of DCF and C-SR in each deployment is shown in (b) and (e). Moreover, the throughput per STA in Deployment 1 and Deployment 2 are shown in (c) and (f), respectively.
  • Figure 3: CDF of the STA throughput of DCF and C-SR, for $d_{\rm {AP-AP}} =~\{5,10,20\}$ meters and 10 STAs per AP.